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Google Earth Engine Machine Learning and the Zillow Bike Score Problem ๐Ÿ›ธ

Google Earth Engine Machine Learning and the Zillow Bike Score Problem
Google Earth Engine Machine Learning and the Zillow Bike Score Problem ๐Ÿ›ธ
Photo by Manuel Will / Unsplash

The big news in the world this week (if you own an iPhone) is that iOS 16 dropped. Between the constant customization blog posts and hacks I see on twitter, I'm still trying to decide if I want to bur my background picture or keep it full resolution. ย 

notion ๐Ÿ—’

Notion is giving away some really great iOS 16 phone backgrounds along with some other really great resources. You can find the Notion digital drop here.

Do you know your Zillow's Bike Score ?

Zillowโ€™s Bike Score Problem ๐ŸŒ™
Traffic indexes like bike scores are valuable and alternate means of travel are extremely helpful in finding ways to make the places we live more interconnected and less reliant on cars. But Zillowโ€™s methods miss key factors.

machine learning & google earth engine - github ๐Ÿ’พ

From the GitHub description of this package:

This python package makes it easier to extract satellite data from Google Earth Engine using parallel processing and the Google Earth Engine high volume end point.

Some have asked why you might need a package to download data from Earth Engine if the point is to work with data in the cloud. Earth Engine is good at what it does, but at times, it can be a sledgehammer and sometimes you need a scalpel.

GitHub - Geethen/geeml
Contribute to Geethen/geeml development by creating an account on GitHub.

on the playlist๐Ÿ”ฎ

Finally some cooler days here in Texas. That means opening up the windows at night and enjoying the musical stylings of Chet Baker and more.